ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Aim To explore the molecular mechanism of Tongluo Tangtai(TLTT)prescription in the preven-tion and treatment of diabetic peripheral neuropathy(DPN)based on network pharmacology and in vitro experimental verification.Methods The chemical composition information of Tongluo Tangtai was searched by TCMSP database and literature search,and the target of chemical composition was collected by PubChem and SwissTargetPrediction database.DPN targets were collected through GeneCards database.GO function and KEGG pathway enrichment of common target proteins were analyzed using DAVID database.The correlation network diagram was constructed using Cytoscape software,and the main active components and target genes were screened for molecular docking study.The in vitro model of DPN was constructed in Schwann cells induced by high glucose.The effect of TLTT on the survival rate of RSC96 cells was detected by CCK-8 method,and the gene expression of Wnt/β-catenin pathway related target molecules in RSC96 cells was detected by Real-time PCR.The expression levels of Wnt/β-catenin pathway-related proteins in RSC96 cells were detected by Western blot.Results The main active components such as stigmasterol,β-si-tosterol and quercetin were screened,which mainly ac-ted on EGFR,AKT1,MAPK3 and Wnt,PI3K-Akt and MAPK signaling pathways.The molecular docking re-sults showed that stigmasterol,β-sitosterol,quercetin and other components could dock well with EGFR,AKT1,MAPK3 and other targets.The results of cell experiment showed that 10％TLTT drug-containing ser-um could promote the viability of high-glucose Schwann cells,up-regulate the expression of β-catenin protein,and down-regulate the expression of GSK-3β and Wif-1 protein.Conclusions TLTT has the characteristics of multi-target-multi-pathway in the treatment of DPN.The possible mechanism is that TLTT activates the Wnt/β-catenin signaling pathway,improves the inhibi-tory effect of high glucose on the proliferation of Schwann cells,promotes the proliferation of Schwann cells,and thus improves the status of DPN.

Objective:To investigate the factors associated with chromosomal abnormalities in embryos of patients with recurrent miscarriage in the in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) population, and to establish a prediction model for chromosomal abnormalities. Methods:This was a retrospective case-control study, aborted tissues were collected from 349 patients who attended the Reproductive and Genetic Laboratory Sports New Town Ward of Dalian Women's and Children's Medical Center (Group) after IVF/ICSI from September 2019 to October 2024, and the samples were examined by copy number variation sequencing (CNV-seq) combined with short tandem repeat (STR) technology. According to the test results, the aborted tissues were divided into chromosome normal and chromosome abnormal groups. Factors affecting the occurrence of chromosomal abnormalities were analyzed by univariate analysis and multifactorial logistic regression.Results:1) By CNV-seq combined with STR method, a total of 252 cases (72.21%, 252/349) of chromosomal abnormalities were detected, while 97 cases had normal chromosomes. 2) The results of univariate analysis showed that the differences in female age, female body mass index (BMI), gestational week, number of miscarriages, progesterone level after 14 d post-transplantation, ovarian reserve function, male age, and male BMI were statistically significant between the chromosome normal group and the chromosome abnormal group (all P<0.05). 3) The results of the multifactorial logistic regression model showed that female age ( OR=1.261, 95% CI: 1.137-1.398, P<0.001), female BMI ( OR=1.121, 95% CI: 1.038-1.227, P=0.004), gestational week ( OR=1.406, 95% CI: 1.155-1.711, P=0.001), progesterone level 14 d after transplantation ( OR=1.016, 95% CI: 1.000-1.031, P=0.043), and BMI of the male partner ( OR=1.132, 95% CI: 1.050-1.220, P=0.001) were the independent risk factors of chromosomal abnormalities. 4) There were statistically significant differences in female age, female BMI, gestational week, progesterone level 14 d after transplantation, and male BMI between patients with normal chromosomes and those with trisomy chromosomes in aborted tissues (all P<0.05).Advanced female age was correlated with the occurrence of trisomy 22 ( P<0.05), and there was a correlation between advanced female age and increased male BMI and the occurrence of trisomy 16 (all P<0.05). Conclusion:The increase in maternal age, BMI, gestational age, progesterone levels 14 d after transplantation, and male BMI can all lead to an increase in the rate of chromosomal abnormalities and an increase in the incidence of trisomy. The advanced age of the female, can lead to the occurrence of trisomy 22. The age of the female and the BMI of the male are positively correlated with the abnormality rate of trisomy 16.

Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.

Aim To explore the molecular mechanism of Tongluo Tangtai(TLTT)prescription in the preven-tion and treatment of diabetic peripheral neuropathy(DPN)based on network pharmacology and in vitro experimental verification.Methods The chemical composition information of Tongluo Tangtai was searched by TCMSP database and literature search,and the target of chemical composition was collected by PubChem and SwissTargetPrediction database.DPN targets were collected through GeneCards database.GO function and KEGG pathway enrichment of common target proteins were analyzed using DAVID database.The correlation network diagram was constructed using Cytoscape software,and the main active components and target genes were screened for molecular docking study.The in vitro model of DPN was constructed in Schwann cells induced by high glucose.The effect of TLTT on the survival rate of RSC96 cells was detected by CCK-8 method,and the gene expression of Wnt/β-catenin pathway related target molecules in RSC96 cells was detected by Real-time PCR.The expression levels of Wnt/β-catenin pathway-related proteins in RSC96 cells were detected by Western blot.Results The main active components such as stigmasterol,β-si-tosterol and quercetin were screened,which mainly ac-ted on EGFR,AKT1,MAPK3 and Wnt,PI3K-Akt and MAPK signaling pathways.The molecular docking re-sults showed that stigmasterol,β-sitosterol,quercetin and other components could dock well with EGFR,AKT1,MAPK3 and other targets.The results of cell experiment showed that 10％TLTT drug-containing ser-um could promote the viability of high-glucose Schwann cells,up-regulate the expression of β-catenin protein,and down-regulate the expression of GSK-3β and Wif-1 protein.Conclusions TLTT has the characteristics of multi-target-multi-pathway in the treatment of DPN.The possible mechanism is that TLTT activates the Wnt/β-catenin signaling pathway,improves the inhibi-tory effect of high glucose on the proliferation of Schwann cells,promotes the proliferation of Schwann cells,and thus improves the status of DPN.

Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment

This study explored the prescription pattern of traditional Chinese medicine(TCM) in the treatment of hypertensive left ventricular hypertrophy(LVH), so as to provide a relevant theoretical basis for the clinical diagnosis and treatment of hypertensive LVH. The study systematically searched the databases of CNKI, Wanfang, VIP, and SinoMed to screen out the qualified literature on TCM treatment of hypertensive LVH and used Microsoft Excel 2021 to establish the relevant prescription database. It also counted the frequency, property, flavor, and meridian affiliation of TCM in the prescriptions and classified their efficacy. The study used Lantern 5.0 and Rstudio software to analyze the hidden structural models and association rules of the high-frequency TCM with a frequency of >3.50% and adopted Origin 2024 software to visualize the data, so as to explore the prescription pattern of TCM in treating hypertensive LVH. The results showed that a total of 128 TCM prescriptions were included, involving 163 TCM with a total frequency of 1 242. The high-frequency TCM included Salviae Miltiorrhizae Radix et Rhizoma, Uncariae Ramulus Cum Uncis, Gastrodiae Rhizoma, Poria, and Chuanxiong Rhizoma, with the main efficacy from blood-activating and stasis-resolving herbs, tonic herbs, and liver-calming and wind-extinguishing herbs. The latent structure analysis(LSA) identified 10 latent variables, 20 latent classes, 7 comprehensive clustering models, and 23 core prescriptions. It was speculated that the common syndromes of hypertensive LVH included blood stasis obstructing the collaterals, ascending hyperactivity of liver Yang, Yin deficiency with Yang hyperactivity, and intermingled phlegm and blood stasis. The association rule analysis yielded 33 strong association rules, with the highest comprehensive association rule being Gastrodiae Rhizoma→Uncariae Ramulus Cum Uncis. Hypertensive LVH is characterized by asthenia in origin and asthenia in superficiality, with Yin deficiency and Qi deficiency as the origin and blood stasis and phlegm as the superficiality. Clinical treatment focuses on activating blood circulation, resolving stasis, tonifying Qi, and nourishing Yin, combined with syndrome-specific therapies such as calming wind and stopping convulsions, clearing heat, eliminating dampness and resolving phlegm, and promoting diuresis and reducing swelling.
Drugs, Chinese Herbal/therapeutic use* ; Data Mining ; Humans ; Hypertension/complications* ; Hypertrophy, Left Ventricular/physiopathology* ; Medicine, Chinese Traditional ; Drug Prescriptions